United States Environmental Protection Agency	Office of Research and Development

National Exposure Research Laboratory
Research Abstract

Government Performance Results Act (GPRA) Goal # 4
Annual Performance Measure #258

Significant Research Findings:

Sampling Design to Assess National Change in Land Cover

Scientific	Land cover change is one of the most widespread and powerful environmental

Problem and	stressors in the United States. Creating national land cover maps is a challenging

Policy Issues	ta.sk that can take years to complete. This work attempted to estimate land cover

change in a timely, cost-efficient manner using a sampling approach.

Research	Analysis was performed by Omernik level III ecoregions. Within each ecoregion

Approach	a number of 10 or 20 km2 blocks were randomly selected. The number of blocks

was determined by the size of the ecoregion, with the goal of identifying 1% or
greater change in land cover with an 85% confidence level. Each block was
classified using a modified Anderson level I scheme for five time periods
(approximately 1973, 1980, 1986, 1992 and 2000) using satellite imagery and
ancillary data. Land cover change statistics for the ecoregion were calculated for
each time period based on the change in the blocks. The research plan for this
work was peer reviewed by three leaders in the field.

Results have been completed for 18 ecoregions, including all of the Mid-Atlantic
region. Percent and area of each land cover class and overall change in land cover
is provided in an excel spreadsheet for each ecoregion by time period and for the
entire study period (1973 - 2000). Information on the most common conversions
(e.g. forest to urban) for each time step and the entire study period is also available
in the spreadsheets. Information on broad changes in land cover may be useful to
planners at the state and regional level as it may be used to measure conversion of
natural cover to urban or agriculture uses which may affect habitat, air and water
quality. The data are intended to be used by EPA program offices, EPA regions
and states.

All work was performed by the US Geological Survey at the EROS Data Center,
funded in part by IAG DW 14-9380108. Results, as well as imagery used in the
process and other data are available on the Environmental Sciences
Division/Landscape Ecology Branch website through
http://www.epa.gov/nerlesdl/land-sci/trends/index.htm

Published journal articles that describe the method or used the results:

Results and
Impact

Research
Collaboration and
Research
Products

Griffith, J.A., Stehman, S.V., Sohl, T.L. and Loveland, T.R. 2003. Detecting
trends in landscape pattern metrics over a 20-year period using a sampling-based
monitoring programme. International Journal of Remote Sensing 24(1): 175-181.


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Griffith, J.A. Stehman, S.V., and Loveland, T.R. 2003. Landscape trends in
Mid-Atlantic and Southeastern United States ecoregions. Environmental
Management 32(5): 572-588.

Griffith, J. A. 2004. The role of landscape pattern analysis in understanding
concepts of land cover change. Journal of Geographic Sciences 14(1): 1-15.

Loveland, T.R., Sohl, T.L., Stehman, S.V., Gallant, A.L., Sayler, K.L. and
Napton, D.E. 2002. A strategy for estimating the rates of recent United States
land-cover change. Photogrammetric Engineering and Remote Sensing 68(10):
1091-1099.

Stehman, S.V., Sohl, T.L. and Loveland, T.R. 2003. Statistical sampling to
characterize recent United States land-cover change. Remote Sensing of
Environment 86: 517-529.

Future Research Classification and analysis of additional ecoregions is ongoing.

Contacts for	Questions and inquiries can be directed to:

Additional	Tim Wade

Information	u.S. EPA, Office of Research and Development

National Exposure Research Laboratory
E243-05
RTP, NC 27711
Phone: (919) 541-4119
E-mail: wade,timothv@epa.gov

or

Thomas R. Loveland, Ph.D.

U.S. Geological Survey
EROS Data Center
47914 252nd Street
Sioux Falls, SD 57198
Phone: (605) 594-6066
E-mail: loveland@usgs.gov

Federal funding for this research was administered under EPA IAG number DW
14-9380108


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